Nadia Gul

17 total papers · 931 total citations
13 papers, 666 citations indexed

About

Nadia Gul is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Nadia Gul has authored 13 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Nadia Gul's work include Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Nadia Gul is often cited by papers focused on Brain Tumor Detection and Classification (8 papers), Advanced Neural Network Applications (5 papers) and COVID-19 diagnosis using AI (3 papers). Nadia Gul collaborates with scholars based in Pakistan, United States and Lebanon. Nadia Gul's co-authors include Javaria Amin, Muhammad Sharif, Muhammad Almas Anjum, Mussarat Yasmin, Shafqat Ali Shad, Muhammad Wasif Nisar, Seifedine Kadry, Muhammad Nadeem Majeed, Syed Muhammad Anwar and Muhammad Majid and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition Letters and Neural Computing and Applications.

In The Last Decade

Nadia Gul

11 papers receiving 633 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nadia Gul	359	315	259	185	81	13	666
Umair Khan	158 0.4×	240 0.8×	109 0.4×	84 0.5×	136 1.7×	27	587
Sarmad Maqsood	209 0.6×	288 0.9×	304 1.2×	222 1.2×	78 1.0×	19	682
Tom Brosch	167 0.5×	214 0.7×	279 1.1×	286 1.5×	16 0.2×	20	695
Mukti E. Jadhav	121 0.3×	250 0.8×	128 0.5×	143 0.8×	103 1.3×	26	636
Youngjin Yoo	153 0.4×	203 0.6×	228 0.9×	387 2.1×	24 0.3×	30	742
Najah Alsubaie	98 0.3×	321 1.0×	157 0.6×	237 1.3×	60 0.7×	35	629
Ikram Ullah Lali	166 0.5×	298 0.9×	201 0.8×	160 0.9×	160 2.0×	12	569
Shokofeh Anari	263 0.7×	203 0.6×	318 1.2×	197 1.1×	12 0.1×	10	617
Zilong Hu	77 0.2×	234 0.7×	133 0.5×	203 1.1×	51 0.6×	24	635
Changhee Han	112 0.3×	315 1.0×	326 1.3×	246 1.3×	24 0.3×	27	759

Countries citing papers authored by Nadia Gul

Since Specialization

Citations

This map shows the geographic impact of Nadia Gul's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nadia Gul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Gul more than expected).

Fields of papers citing papers by Nadia Gul

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Gul. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nadia Gul. The network helps show where Nadia Gul may publish in the future.

Co-authorship network of co-authors of Nadia Gul

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Gul. A scholar is included among the top collaborators of Nadia Gul based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadia Gul. Nadia Gul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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